Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T153E16371D5082F3E23134FD4CB767331629F42AAF70A6000A5AD12F48BC6E59E53B9B6 |
|
CONTENT
ssdeep
|
96:TmOlnulCz7LxgEaFgeqzYF9XLtbxBLD/0VpMYrHzIRZpyUl:RZjxAaeqShxbDH/C1rTIR24 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c8c86262eabb3373 |
|
VISUAL
aHash
|
9918181818000000 |
|
VISUAL
dHash
|
33b233b2320c0010 |
|
VISUAL
wHash
|
ff3c181818000018 |
|
VISUAL
colorHash
|
38000000e00 |
|
VISUAL
cropResistant
|
33b233b2320c0010 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 38 techniques to evade detection by security scanners and make reverse engineering more difficult.